Law firms and professional service networks have been using Harvey to build new service models and add value collaboratively.
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-training recipe that enables exact block-wise KV caching and trajectory-consistent step reduction — delivering up to 14.5x latency improvements
Anduril receives an additional $43.7M in Defense Production Act Title III funding to expand domestic solid rocket motor production capacity at its Mississippi facility, reinforcing America’s munitions industrial base.
February 19, 2026
OpenAI for India expands AI access across the country—building local infrastructure, powering enterprises, and advancing workforce skills.
The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.
OpenAI and Paradigm introduce EVMbench, a benchmark evaluating AI agents’ ability to detect, patch, and exploit high-severity smart contract vulnerabilities.
Machine Perception
Google DeepMind brings National Partnerships for AI initiative to India, scaling AI for science and education
InteractionLabs, the company behind the Ongo living lamp robot, and Gradium announce a partnership to bring expressive, real-time voice AI to robotics.
In a comprehensive study by Daily (Pipecat), Soniox was recognized as a top-tier provider for real-time voice agents.
In a comprehensive study by Daily (Pipecat), Soniox was recognized as a top-tier provider for real-time voice agents.
A new preprint shows GPT-5.2 proposing a new formula for a gluon amplitude, later formally proved and verified by OpenAI and academic collaborators.
German and Ukrainian Government encourage industry partnership for thousands of AI-guided mid range strike systems in landmark European defense cooperation Munich, Germany – February 13th, 2026 Auterion, the global leader in autonomous drone operating systems, and Airlogix, a Ukrainian defense technology company, today announced during the Munich Security Conference the formation of a joint ventur
GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.
How OpenAI built a real-time access system combining rate limits, usage tracking, and credits to power continuous access to Sora and Codex.
Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.
Feb 12, 2026
Together AI launches production-grade orchestration for custom AI models with 1.4x–2.6x faster inference.
February 12, 2026
Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the value of in-context learning for tabular data. We introduce TabICLv2, a new state-of-the-art foundation model for regression and classification built on three pillars: (1) a novel synthetic data generation engine designed for high pretraining
Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the value of in-context learning for tabular data. We introduce TabICLv2, a new state-of-the-art foundation model for regression and classification built on three pillars: (1) a novel synthetic data generation engine designed for high pretraining
Algorithms & Theory
By Ryan Lopopolo, Member of the Technical Staff
Explore strategies for balancing quality and latency in real-time TTS AI models. Learn how Gradium achieves low-latency, high-quality speech synthesis for voice applications.
Human-Computer Interaction and Visualization
Large language models (LLMs) often present answers with high apparent confidence despite lacking an explicit mechanism for reasoning about certainty or truth. While existing benchmarks primarily evaluate single-turn accuracy, truthfulness or confidence calibration, they do not capture how models behave when their responses are challenged in interactive settings. We introduce the Certainty Robustne
We built a feature that massively increased our internal token spend on Devin. But our PRs are now much more free of bugs and we can't go back.
Climate & Sustainability
Research papers point to the growing impact of Deep Think across fields
OpenAI for Government announces the deployment of a custom ChatGPT on GenAI.mil, bringing secure, safety-forward AI to U.S. defense teams.
Reproducibility is a cornerstone of science. FAIR (findable, accessible, interoperable, and reusable) data is often a vital step towards testing the reproducibility of results. The implementation of FAIR principles in the astrophysical simulation community is still varied. We approach the discussion of this topic mainly from a high-performance computing (HPC) point of view. We identify the main ob
Get 6 months free access to Gradium's voice AI platform. 9M monthly credits, voice cloning, STT/TTS APIs for seed-funded startups building voice-first products.
OpenAI shares its approach to AI localization, showing how globally shared frontier models can be adapted to local languages, laws, and cultures without compromising safety.
What do language models generate when you don't tell them what to generate? New research reveals that LLM families have distinct 'knowledge priors'—GPT models default to code and math, Llama favors narratives, DeepSeek generates religious content, and Qwen outputs exam questions.
Sierra is heading into year three with over $150M in ARR, powered by rapid adoption from some of the world’s largest companies. The growth reflects a simple idea: when AI is built around real jobs to be done (not experiments), even the biggest enterprises can see meaningful impact fast.
An autonomous lab combining OpenAI’s GPT-5 with Ginkgo Bioworks’ cloud automation cut cell-free protein synthesis costs by 40% through closed-loop experimentation.
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards against misuse.
Education Innovation
OpenAI Frontier is an enterprise platform for building, deploying, and managing AI agents with shared context, onboarding, permissions, and governance.
A speech recognition model purpose-built for low-latency voice interactions.
GPT‑5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT‑5.2-Codex with the reasoning and professional knowledge capabilities of GPT‑5.2.
A speech recognition model purpose-built for low-latency voice interactions.
Acolad, the global leader in language and content solutions, and Gradium just announced a strategic partnership. The partnership reflects Acolad’s commitment to delivering secure, scalable, and governed AI-powered interpreting solutions, designed for enterprise and public-sector environments.
GPT-5.3-Codex is a Codex-native agent that pairs frontier coding performance with general reasoning to support long-horizon, real-world technical work.
Algorithms & Theory
Learn how to embed the Codex agent using the Codex App Server, a bidirectional JSON-RPC API powering streaming progress, tool use, approvals, and diffs.
Generative AI
Hiring Alon Gavrielov further deepens Together AI’s commitment to building AI factories that deliver the most reliable, efficient, and scalable infrastructure for AI-native teams.
We propose RLAnything, a reinforcement learning framework that dynamically forges environment, policy, and reward models through closed-loop optimization, amplifying learning signals and strengthening the overall RL system for any LLM or agentic scenarios. Specifically, the policy is trained with integrated feedback from step-wise and outcome signals, while the reward model is jointly optimized vi
OpenAI and Snowflake partner in a $200M agreement to bring frontier intelligence into enterprise data, enabling AI agents and insights directly in Snowflake.
Fine-tuned open-source LLM judges can outperform GPT-5.2 at evaluating model outputs. Using Direct Preference Optimization on just 5,400 preference pairs, we trained GPT-OSS 120B to beat GPT-5.2 on human preference alignment—at 15x lower cost and 14x faster inference speeds.
Feb 2, 2026
Together Evaluations now supports OpenAI, Anthropic, and Google models for cross-provider benchmarking. Compare open-source, fine-tuned, and proprietary models side-by-side to make data-driven decisions on quality, cost, and performance—all in one platform.
OpenAI banned accounts that very likely originated in Cambodia and used AI to pose as recovery services, law firms, and authorities targeting people affected by fraud.
OpenAI banned accounts using AI to support romance scam workflows, including outreach, translation, victim engagement, and investment-fraud lures.
OpenAI banned accounts linked to a previously unreported, likely Russia-origin operation we dubbed "No Bell", using AI to produce criticism of the US and its allies for audiences across Africa.
OpenAI banned accounts linked to the Rybar network, some of which likely originated in Russia, that used AI to support multilingual influence activity across websites and social platforms.
OpenAI banned accounts linked to a previously unreported operation we dubbed "Trolling Stone", using AI to generate comments about an alleged Russian cult leader’s arrest in Argentina.
OpenAI banned an account linked to an individual associated with Chinese law enforcement, using AI to plan influence activity, harassment, and online operations.
OpenAI banned likely China-origin accounts using AI to research US persons, locations, and social-engineering tactics.
OpenAI banned accounts that very likely originated in Cambodia and used AI for scam outreach to Indonesian loveseekers, including translation and engagement.
Nash regret has recently emerged as a principled fairness-aware performance metric for stochastic multi-armed bandits, motivated by the Nash Social Welfare objective. Although this notion has been extended to linear bandits, existing results suffer from suboptimality in ambient dimension $d$, stemming from proof techniques that rely on restrictive concentration inequalities. In this work, we resol
Professor Sara Bernardini has been named as one of the winners of the Suffrage Science Awards in Maths and Computing.
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